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from pyChatGPT import ChatGPT | |
import os | |
session_token = os.environ.get('SessionToken') | |
import whisper | |
whisper_model = whisper.load_model("small") | |
def chat_hf(audio, custom_token): | |
try: | |
whisper_text = translate(audio) | |
api = ChatGPT(session_token) | |
resp = api.send_message(whisper_text) | |
api.refresh_auth() # refresh the authorization token | |
api.reset_conversation() # reset the conversation | |
gpt_response = resp['message'] | |
except: | |
whisper_text = translate(audio) | |
api = ChatGPT(custom_token) | |
resp = api.send_message(whisper_text) | |
api.refresh_auth() # refresh the authorization token | |
api.reset_conversation() # reset the conversation | |
gpt_response = resp['message'] | |
return whisper_text, gpt_response | |
def translate(audio): | |
print(""" | |
β | |
Sending audio to Whisper ... | |
β | |
""") | |
audio = whisper.load_audio(audio) | |
audio = whisper.pad_or_trim(audio) | |
mel = whisper.log_mel_spectrogram(audio).to(whisper_model.device) | |
_, probs = whisper_model.detect_language(mel) | |
transcript_options = whisper.DecodingOptions(task="transcribe", fp16 = False) | |
#translate_options = whisper.DecodingOptions(task="translate", fp16 = False) | |
transcription = whisper.decode(whisper_model, mel, transcript_options) | |
#translation = whisper.decode(whisper_model, mel, translate_options) | |
print("language spoken: " + transcription.language) | |
print("transcript: " + transcription.text) | |
print("βββββββββββββββββββββββββββββββββββββββββββ") | |
#print("translated: " + translation.text) | |
return transcription.text | |
title = """ | |
<div style="text-align: center; max-width: 500px; margin: 0 auto;"> | |
<div | |
style=" | |
display: inline-flex; | |
align-items: center; | |
gap: 0.8rem; | |
font-size: 1.75rem; | |
margin-bottom: 10px; | |
" | |
> | |
<h1 style="font-weight: 600; margin-bottom: 7px;"> | |
Whisper to chatGPT | |
</h1> | |
</div> | |
<p style="margin-bottom: 10px;font-size: 94%;font-weight: 100;line-height: 1.5em;"> | |
Chat with GPT with your voice in your native language ! | |
<br />If it fails enter custom session key see video for reference refer | |
<a href="https://youtu.be/TdNSj_qgdFk" target="_blank">Bhavesh Baht video</a> | |
</p> | |
<p style="font-size: 94%"> | |
You can skip the queue by duplicating this space: | |
<span style="display: flex;align-items: center;justify-content: center;height: 30px;"> | |
<a href="https://huggingface.co/fffiloni/whisper-to-chatGPT?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a> | |
</span> | |
</p> | |
</div> | |
""" | |
article = """ | |
<div class="footer"> | |
<p><a href="https://chat.openai.com/chat" target="_blank">chatGPT</a> | |
by <a href="https://openai.com/" style="text-decoration: underline;" target="_blank">OpenAI</a> - | |
Gradio Demo by π€ <a href="https://twitter.com/fffiloni" target="_blank">Sylvain Filoni</a> | |
</p> | |
</div> | |
""" | |
css = ''' | |
#col-container {max-width: 700px; margin-left: auto; margin-right: auto;} | |
a {text-decoration-line: underline; font-weight: 600;} | |
.footer { | |
margin-bottom: 45px; | |
margin-top: 35px; | |
text-align: center; | |
border-bottom: 1px solid #e5e5e5; | |
} | |
.footer>p { | |
font-size: .8rem; | |
display: inline-block; | |
padding: 0 10px; | |
transform: translateY(10px); | |
background: white; | |
} | |
.dark .footer { | |
border-color: #303030; | |
} | |
.dark .footer>p { | |
background: #0b0f19; | |
} | |
''' | |
import gradio as gr | |
with gr.Blocks(css=css) as demo: | |
with gr.Column(elem_id="col-container"): | |
gr.HTML(title) | |
with gr.Row(): | |
record_input = gr.Audio(source="microphone",type="filepath", show_label=False) | |
send_btn = gr.Button("Send my message !") | |
custom_token = gr.Textbox(label='If it fails, use your own session token', placeholder="your own session token") | |
with gr.Column(): | |
audio_translation = gr.Textbox(type="text",label="Whisper translation") | |
gpt_response = gr.Textbox(type="text",label="chatGPT response") | |
gr.HTML(article) | |
send_btn.click(chat_hf, inputs=[record_input, custom_token], outputs=[audio_translation, gpt_response]) | |
demo.queue(max_size=32, concurrency_count=20).launch(debug=True) |